Please use this identifier to cite or link to this item:
Title: Perception, planning, control, and coordination for autonomous vehicles
Authors: Pendleton, S.D
Andersen, H
Du, X
Shen, X
Meghjani, M
Eng, Y.H
Rus, D
Ang, M.H 
Issue Date: 2017
Citation: Pendleton, S.D, Andersen, H, Du, X, Shen, X, Meghjani, M, Eng, Y.H, Rus, D, Ang, M.H (2017). Perception, planning, control, and coordination for autonomous vehicles. Machines 5 (1) : 6. ScholarBank@NUS Repository.
Abstract: Autonomous vehicles are expected to play a key role in the future of urban transportation systems, as they offer potential for additional safety, increased productivity, greater accessibility, better road efficiency, and positive impact on the environment. Research in autonomous systems has seen dramatic advances in recent years, due to the increases in available computing power and reduced cost in sensing and computing technologies, resulting in maturing technological readiness level of fully autonomous vehicles. The objective of this paper is to provide a general overview of the recent developments in the realm of autonomous vehicle software systems. Fundamental components of autonomous vehicle software are reviewed, and recent developments in each area are discussed. © 2017 by the authors.
Source Title: Machines
ISSN: 20751702
DOI: 10.3390/machines5010006
Appears in Collections:Elements
Staff Publications

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
10_3390_machines5010006.pdf1.11 MBAdobe PDF



Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.